{"id":"W4414845814","doi":"10.55606/detector.v3i3.5573","title":"Analisis Penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) terhadap Kinerja Pelayanan Kesehatan di Rumah Sakit X","year":2025,"lang":"en","type":"article","venue":"Detector Jurnal Inovasi Riset Ilmu Kesehatan","topic":"Healthcare Quality and Satisfaction","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Information system; Service (business); Information quality; Hospital information system; Information technology; Organizational structure; Service quality; Management information systems","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003288385,0.001030252,0.001566988,0.00131604,0.003351055,0.0002778279,0.001288565,0.001180526,0.001091952],"category_scores_gemma":[0.0008394351,0.0009755285,0.0005987088,0.002216201,0.0003000035,0.001397046,0.0005573825,0.003392784,0.0002650145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771273,"about_ca_system_score_gemma":0.001517711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003000757,"about_ca_topic_score_gemma":0.01408181,"domain_scores_codex":[0.9893067,0.00203383,0.003447776,0.001254419,0.001533006,0.002424208],"domain_scores_gemma":[0.9936876,0.001087153,0.001276174,0.001938673,0.0009823998,0.001028028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006679958,0.0002542161,0.8944607,0.002217138,0.000567535,0.0001070245,0.003162037,0.00005970659,0.001248433,0.02293395,0.00614569,0.06817557],"study_design_scores_gemma":[0.002575861,0.000390841,0.651428,0.001132975,0.0002225877,0.00002102223,0.008749068,0.0005981941,0.000623935,0.0004244235,0.3328398,0.0009933278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485723,0.001057568,0.001141054,0.004959423,0.003942196,0.002569382,0.0005022318,0.0007706757,0.03648518],"genre_scores_gemma":[0.9866096,0.0005087647,0.0004941674,0.00251017,0.001009141,0.0003915487,0.0006609618,0.0001408447,0.007674746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3266941,"threshold_uncertainty_score":0.9998212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06252830684614173,"score_gpt":0.4275396677006343,"score_spread":0.3650113608544926,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}